Time series analysis is a statistical method used to analyze data points collected over a period of time. It is used to identify patterns and trends in the data, as well as to make predictions about future values. Time series analysis can be used to analyze a variety of data, including stock prices,
In mathematics, a time series is a sequence of data points indexed, listed, or graphed in chronological order. Most commonly, a time series consists of observations recorded at successive equally spaced points in time. Thus, it represents a form of discrete-time data. A time series may describe measurements collected over seconds, days, years, or even centuries. Common examples include heights of ocean tides, counts of sunspots, daily temperature readings, and the closing values of stock market indices such as the Dow Jones Industrial Average.